Interview: Dolphin Speeds Business with Data Volume Management for SAP HANA

Dr. Werner Hopf

“Dolphin helps companies manage data volume and optimize processes so they can balance the performance and processing capabilities of SAP systems against the cost of running those systems. We develop a data volume management strategy so our customers can keep business critical data in SAP HANA, to get the fast efficient processing they need, and move static or business complete data on to other storage where it is still accessible. With a data volume management strategy in place, our customers are better prepared to go live on HANA and improve their return on investment.”

Call for Participation: The Graph500 and Green Graph500 Lists!

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“The importance of Big Data processing is steadily growing. Numerous large-scale problems that represent social, physical, or financial interactions are most naturally modeled with graph representations. Such graphs requiring the processing and storage of billions of vertices and graph edges, high-performance graph computations to process them efficiently. The Graph500 list encourages the development of such large-scale high-performance graph processing systems and offers a forum to showcase and discuss the performance of various solutions.”

The Future of Unstructured Data Workloads

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In this video from the OpenFabrics International Developer Workshop 2014, Tashneem Maistry from Pivotal presents: The Future of Unstructured Data Workloads.

Mellanox Collaborates with IBM to Speed In-Memory Data Grids

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Today Mellanox announced a collaboration with IBM to deliver a high-performance infrastructure for NoSQL Databases and In-Memory Data Grids.

Slidecast: IBM Fellows Tackle Grand Challenges of Big Data

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“A common thread for many of this year new IBM Fellows is their commitment to developing solutions and practical applications in the field of Big Data and Analytics. IBM is a leader in the space – with 1500 Big Data and Analytics-related patents in 2013 alone, and $24 billion in investments since 2005 through both acquisitions and R&D – and these fellows maintain the drumbeat of momentum that has made IBM number one in Big Data market share for the second year running.”

IBM Goes Deep for Big Data Market with POWER8 Open Server Innovation

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“This is the first truly disruptive advancement in high-end server technology in decades, with radical technology changes and the full support of an open server ecosystem that will seamlessly lead our clients into this world of massive data volumes and complexity,” said Tom Rosamilia, Senior Vice President, IBM Systems and Technology Group. “There no longer is a one-size-fits-all approach to scale out a data center. With our membership in the OpenPOWER Foundation, IBM’s POWER8 processor will become a catalyst for emerging applications and an open innovation platform.”

Job of the Week: Big Data Senior Architect at Innovative Development

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Innovative Development is seeking a Big Data Senior Architect in our Job of the Week. We have partnered with a major Financial Institution to provide them with a Big Data Solutions Architect in Wilmington, Delaware. The Big Data Solutions Architect will manage the full life-cycle of a Hadoop solution. This includes creating the requirements analysis, the platform selection, design […]

Bright Computing Achieves Cloudera Certification for Bright Cluster Manager

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This week Bright Computing announced that their Bright Cluster Manager software is now certified on Cloudera Enterprise 5. Going forward from this announcement, Bright and Cloudera work together to enable enterprise customers to deploy and manage big data projects.

DK Panda Presents: Big Data – Hadoop and Memcached

DK Panda

“As InfiniBand is getting used in scientific computing environments, there is a big demand to harness its benefits for enterprise environments for handling big data and analytics. This talk will focus on high-performance and scalable designs of Hadoop using native RDMA support of InfiniBand and RoCE. Designs for various components in Hadoop (such as HDFS, MapReduce, RPC, and HBASE) and their benefits based on the RDMA package for Apache Hadoop will be presented. RDMA-based design for scalable Memcached (used in Web 2.0) and the associated benefits will be presented.”

Demo: MapD Wins the Day with GPUs for Big Data at GTC 2014

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In this video from GTC 2014, Todd Mostak from MapD demonstrates the company’s GPU-powered in-memory relational database software for Big Data. The Cambridge, Mass., based startup has built a high-speed GPU in-memory database that brings interactivity to big data. It can, for example, track more than a billion tweets worldwide at a time – and provide real-time visual analysis of the data. MapD was also announced as the winner of the GPU Technology Conference’s Early Stage Challenge this year, and they will be coming home with a cool $100,000 check.